Abstract: Here a Brain Computer Interface (BCI) technology to analyze the brain waves along with controlling a device as well as analysis of the EEG signals BCIs are interfaced through the humanoid brain signals along with gadgets by decoding brain activity in real-time action commands. The project will be implemented using ML [machine learning] and IoT[Internet Of Things].
Keywords: EEG, IOT, BCI, IoT, ML, EPOC.
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DOI:
10.17148/IJARCCE.2021.10129
How to Cite:
[1] Aneena K.K, Hashim A.A, Mohamed Basil, Sony Joseph, Nighila Ashok, "Communication Device for Locked-in Syndrome Patients," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10129
